Critical Reviews in Biotechnology,
Journal Year:
2021,
Volume and Issue:
41(7), P. 1023 - 1045
Published: March 17, 2021
Enzymes
and
cell
factories
play
essential
roles
in
industrial
biotechnology
for
the
production
of
chemicals
fuels.
The
properties
natural
enzymes
cells
often
cannot
meet
requirements
different
processes
terms
cost-effectiveness
high
durability.
To
rapidly
improve
their
performances,
laboratory
evolution
equipped
with
high-throughput
screening
methods
facilities
is
commonly
used
to
tailor
desired
factories,
addressing
challenges
achieving
titer
yield
target
products
at
high/low
temperatures
or
extreme
pH,
unnatural
environments
presence
unconventional
media.
Droplet
microfluidic
(DMFS)
systems
have
demonstrated
great
potential
exploring
vast
genetic
diversity
a
manner
(>106/h)
been
increasingly
recent
years,
contributing
identification
extraordinary
mutants.
This
review
highlights
advances
concepts
DMFS
library
screening,
including
key
factors
droplet
generation
manipulation,
signal
sources
sensitive
detection
sorting,
comprehensive
summary
success
stories
implementation
engineering
during
past
decade.
Droplet,
Journal Year:
2023,
Volume and Issue:
2(2)
Published: Feb. 9, 2023
Abstract
Control
of
droplet
sliding
and
its
interfacial
behavior
such
as
resistance
friction
have
important
applications
in
microfluidic
energy‐related
fields.
Nature
provides
many
examples
interface‐driven
control;
yet,
to
date,
the
continuous
governing
multiphase
process
precise
steering
remain
challenging.
Here,
directional‐dependent
ultraslippery
patterned
surfaces
with
significant
anisotropy
were
created
by
coordinating
heterogeneous
wettability
back
dessert
beetle,
architecture
butterfly
wing,
configuration
Nepenthes
alata
.
Analysis
on
typical
reveals
that
triple
phase
line
(TPL)
immigration
patterns
dominates
strong
anisotropy,
which
can
be
modeled
using
classic
Furmidge
equation.
In
particular,
for
semicircular
surface
shows
threefold
higher
than
natural
wings
due
most
difference
TPL
two
opposite
directions,
enables
simultaneous
handling
multiple
droplets
without
mass
loss
sliding/friction.
This
work
may
transform
design
space
control
interface
motion
development
new
lab‐on‐a‐chip
droplet‐based
microsystems.
Life,
Journal Year:
2023,
Volume and Issue:
13(5), P. 1073 - 1073
Published: April 23, 2023
Natural
scaffolds
remain
an
important
basis
for
drug
development.
Therefore,
approaches
to
natural
bioactive
compound
discovery
attract
significant
attention.
In
this
account,
we
summarize
modern
and
emerging
trends
in
the
screening
identification
of
antibiotics.
The
methods
are
divided
into
three
large
groups:
based
on
microbiology,
chemistry,
molecular
biology.
scientific
potential
is
illustrated
with
most
prominent
recent
results.
FEMS Microbiology Reviews,
Journal Year:
2023,
Volume and Issue:
47(4)
Published: June 7, 2023
Abstract
When
selecting
microbial
strains
for
the
production
of
fermented
foods,
various
phenotypes
need
to
be
taken
into
account
achieve
target
product
characteristics,
such
as
biosafety,
flavor,
texture,
and
health-promoting
effects.
Through
continuous
advances
in
sequencing
technologies,
whole-genome
sequences
increasing
quality
can
now
obtained
both
cheaper
faster,
which
increases
relevance
genome-based
characterization
phenotypes.
Prediction
from
genome
makes
it
possible
quickly
screen
large
strain
collections
silico
identify
candidates
with
desirable
traits.
Several
relevant
foods
predicted
using
knowledge-based
approaches,
leveraging
our
existing
understanding
genetic
molecular
mechanisms
underlying
those
In
absence
this
knowledge,
data-driven
approaches
applied
estimate
genotype–phenotype
relationships
based
on
experimental
datasets.
Here,
we
review
computational
methods
that
implement
knowledge-
phenotype
prediction,
well
combine
elements
approaches.
Furthermore,
provide
examples
how
these
have
been
industrial
biotechnology,
special
focus
food
industry.
Smart Molecules,
Journal Year:
2023,
Volume and Issue:
1(1)
Published: April 17, 2023
Abstract
Microfluidics
has
received
extensive
attention
due
to
its
ability
rapidly
prepare
a
large
number
of
microdroplets
with
controlled
sizes
and
defined
morphologies.
In
addition
having
surface
areas
controllable
confinement
environments,
these
prepared
can
be
used
as
analytical
detection
devices
screen
optimize
various
kinetic
parameters.
This
review
summarizes
recent
advances
in
the
microfluidic
control
droplet‐based
catalytic
reactions
discusses
role
droplets
both
homogeneous
heterogeneous
catalyzes
catalysis
macromolecular
biological
enzymes
water‐in‐oil
oil‐in‐oil
environments.
Additionally,
existing
problems
future
development
directions
are
highlighted
promote
droplet
media
provide
guidance
for
high‐throughput
screening
catalysts
directed
evolution
enzymes.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(3), P. 1138 - 1146
Published: Jan. 2, 2024
Fast-paced
pharmaceutical
process
developments
(e.g.,
high-throughput
experimentation,
directed
evolution,
and
machine
learning)
involve
the
introduction
of
fast,
sensitive,
accurate
analytical
assays
using
limited
sample
volumes.
In
recent
years,
acoustic
droplet
ejection
(ADE)
coupled
with
an
open
port
interface
has
been
invented
as
a
sampling
technology
for
mass
spectrometry,
providing
nanoliter
measurements
directly
from
standard
microplates.
Herein,
we
introduce
ADE-multiple
reaction
monitoring-mass
spectrometry
(ADE-MRM-MS)
workflow
to
accelerate
research
development
(PR&D).
This
systematic
outlines
selection
MRM
transitions
optimization
assay
parameters
in
data-driven
manner
rapid
(1
sample/s).
The
synergy
between
ADE
analysis
enables
excellent
sensitivity,
selectivity,
speed
PR&D
screenings.
was
utilized
develop
new
ADE-MRM-MS
guiding
variety
industrial
processes,
including
(1)
screening
Ni-based
catalysts
C–N
cross-coupling
at
1
Hz
(2)
regioisomer
analysis-enabled
enzyme
library
peptide
ligation
reaction.
were
demonstrated
deliver
results
that
are
comparable
conventional
liquid
chromatography
(LC)
experiments
while
>100-fold
throughput
enhancement.
Analytical Science Advances,
Journal Year:
2021,
Volume and Issue:
2(3-4), P. 109 - 127
Published: Jan. 28, 2021
Abstract
High
throughput
experimentation
is
a
growing
and
evolving
field
that
allows
to
execute
dozens
several
thousands
of
experiments
per
day
with
relatively
limited
resources.
Through
miniaturization,
typically
high
degree
automation
the
use
digital
data
tools,
many
parallel
reactions
or
at
time
can
be
run
in
such
workflows.
also
requires
fast
analytical
techniques
capable
generating
critically
important
line
increased
rate
experimentation.
As
traditional
usually
do
not
deliver
speed
required,
some
unique
approaches
are
required
enable
workflows
function
as
designed.
This
review
covers
recent
developments
(2019‐2020)
this
was
intended
give
comprehensive
overview
current
“state‐of‐the‐art.”
ACS Polymers Au,
Journal Year:
2023,
Volume and Issue:
3(6), P. 406 - 427
Published: Dec. 5, 2023
Synthetic
polymers
are
highly
customizable
with
tailored
structures
and
functionality,
yet
this
versatility
generates
challenges
in
the
design
of
advanced
materials
due
to
size
complexity
space.
Thus,
exploration
optimization
polymer
properties
using
combinatorial
libraries
has
become
increasingly
common,
which
requires
careful
selection
synthetic
strategies,
characterization
techniques,
rapid
processing
workflows
obtain
fundamental
principles
from
these
large
data
sets.
Herein,
we
provide
guidelines
for
strategic
macromolecule
efficiently
navigate
high-dimensional
spaces.
We
describe
methods
multiple
library
sizes
as
well
rapidly
generate
sets,
including
tools
that
can
be
adapted
biological
workflows.
further
highlight
relevant
insights
statistics
machine
learning
aid
featurization,
representation,
analysis.
This
Perspective
acts
a
"user
guide"
researchers
interested
leveraging
high-throughput
screening
toward
multifunctional
predictive
modeling
structure–property
relationships
soft
materials.
